Classification Method of Aerobics Course Online Teaching Resources Based on Artificial Intelligence Technology-Reference-Cited by-同舟云学术

Classification Method of Aerobics Course Online Teaching Resources Based on Artificial Intelligence Technology

Published:2022-02-09 Issue: Volume:2022 Page:1-10
ISSN:1530-8677
Container-title:Wireless Communications and Mobile Computing
language:en
Short-container-title:Wireless Communications and Mobile Computing

Author:

Zhao Hua¹,Zhang Xin¹,Wang Caixia²,Yuan Weiyu³^ORCID

Affiliation:

1. Department of Sport Arts, Hebei Sport University, Shijiazhuang 050041, Hebei, China

2. College of Physical Education, Handan University, Handan 056000, Hebei, China

3. School of Clinical Medicine, Hebei Medical University, Shijiazhuang 050017, Hebei, China

Abstract

In light of the current uneven distribution of aerobics course online resources, this paper presents research on the classification method of aerobics course online teaching resources based on artificial intelligence technology, constructs the display education resource management system based on artificial intelligence technology, realizes the classification of teaching information characteristics, and constructs the classification and evaluation algorithm of aerobiology course online resources. The online teaching resource classification of aerobics course achieves its design goal. Finally, the experiment shows that the artificial intelligence-based online teaching resource classification method for aerobics course is highly practicable and fully meets the research requirements.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Link

http://downloads.hindawi.com/journals/wcmc/2022/8915705.pdf

Reference16 articles.

1. Nanoparticle Classification Using Frequency Domain Analysis on Resource-Limited Platforms

2. autoBOT: evolving neuro-symbolic representations for explainable low resource text classification;B. Krlj;Machine Learning,2021

3. Meta Learn on Constrained Transfer Learning for Low Resource Cross Subject EEG Classification

4. Deep analysis of an Arabic sentiment classification system based on lexical resource expansion and custom approaches building

5. Deep reinforcement one-shot learning for artificially intelligent classification in expert aided systems

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